Improved dnf support
Three notable dnf related improvements making it easier to manage packages on modern Enterprise Linux based systems (Red Hat, Rocky Linux, Alama Linux, etc …) have been merged recently.
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Beyond Uptime: Building a Self-Healing OpenClaw Observability Stack
The allure of OpenClaw is undeniable. You deploy a highly autonomous, self-hosted AI agent, give it access to your repositories and inboxes, and watch it reason through complex workflows while you sleep. It is the dream of the ultimate 10x developer tool realized. But as any veteran DevOps engineer will tell you: running an LLM-backed Node.js agent in production is vastly different from testing it on your local machine.
Why Mandating AI Tools Backfires on Engineering Teams
Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.
AI agents are only as smart as the data you feed it
AI is only as useful as the context you give it. An autonomous observability agent can unlock serious value from your telemetry, but only when the foundation is right: good telemetry, a strong data layer, and efficient access to the data. Annie Freeman and Lewis Isaac had a lot to say about this at AWS Summit London this week! hashtag#Observability hashtag#AI hashtag#AWSSummitLondon hashtag#DevOps hashtag#OpenTelemetry.
Introducing Ubuntu 26.04 LTS | Resolute Raccoon
Ubuntu 26.04 LTS, codenamed, is now available to download. Resolute Raccoon builds on the resilience-focused improvements introduced in interim releases, with TPM-backed full-disk encryption, improved support for application permission prompting, Livepatch updates for Arm-based servers, and Rust-based utilities for enhanced memory safety. This release also brings native support for industry-leading AI/ML toolkits like NVIDIA CUDA and AMD ROCm, making Ubuntu 26.04 LTS the ideal platform for AI development and production workloads.
VictoriaMetrics Virtual Meetup Q1 2026 - VictoriaMetrics Updates
VictoriaMetrics continues to enhance usability and developer experience with new built-in capabilities. A lightweight UI now provides clear client setup instructions, simplifying onboarding, while an integrated inspector offers powerful debugging tools directly within the platform. Default tenant configuration further streamlines initial setup, reducing friction for new deployments. In addition, the MCP Server is now included by default in VictoriaMetrics Cloud deployments, eliminating the need for manual installation and making advanced monitoring workflows more accessible out of the box.
The product signal latency gap slowing your growth
Organizations often call product managers the CEOs of the product. But PMs know that’s a myth. When a CEO wants a status report, they get one immediately. They don’t need to negotiate for engineering time, reconcile conflicting project priorities, or wait for a data scientist to find a gap in their schedule. For most PMs, simply understanding the state of the product is where growth can stall.
Test network paths with TCP, UDP, and ICMP in Datadog
When developers and SREs design application tests, they often prioritize user workflows and API availability. Extending that suite with network tests that match your app’s traffic protocols can reveal whether issues originate in the network or application layer. In this post, we’ll explore how you can design effective network tests using the Transmission Control Protocol (TCP), User Datagram Protocol (UDP), or Internet Control Message Protocol (ICMP), including.
Announcing Icinga 2.16.0 and 2.15.3
We are happy to announce the release of two new versions of Icinga 2 today, 2.16.0 and 2.15.3. The first one includes some new features highlighted below, as well as a number of bug fixes and other improvements. The latter one is a small bug fix release that brings some of the other fixes included in 2.16.0 to the 2.15.x branch as well.
What Is AI Agent Observability? Why Cost Is The Signal You're Missing
Your LLM observability stack probably handles individual model calls well enough. Latency, token counts, error rates, maybe even evaluation scores....